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Motability Operations Ltd

Risk Modeller

London
Posted 1 day ago
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About The Role

The Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation’s key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset, and ensuring the forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME’s.

Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities:

  • Operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and ensure risks and issues are flagged and solutions sought and delivered
  • Use critical thinking during the accurate and timely operational update and delivery of the critical BAU requirements for Asset Risk models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital
  • Confidently operate and explain the various model process updates related to data, modelling assumptions, modelling techniques, business forecasts and policy assessments, etc, to ensure a comprehensive understanding of your work and the model outcomes across a variety of stakeholders
  • Have an effective understanding of the model components - design principles, use of data, assumptions, applied statistical and modelling techniques – for the models, delivering challenge and communication required to close the gap between the models and Asset Risk deliverables
  • Support the Modelling Lead and Senior Risk Modeller with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring your activity aligns with the wider business SME’s
  • Ensure that the models and their outcomes are jointly owned with the modelling teams and business area owners, ensuring the models and messaging meet the needs of the business and are not seen as theoretical 'black boxes'
  • Understand the tools and systems used to deliver all model activities, including the DSML tools (AWS Sagemaker), Snowflake and collaborate and advocate for the right approach as the needs of the business and technology evolves
  • Work in collaborative relationships to ensure the Modelling Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners
  • Be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing.
  • Support the deliver of wider Asset Risk deliverables outside of the Modelling Team on an ad hoc basis
  • Support the coaching of colleagues in Asset Risk and the wider business, promote best practice, skills and knowledge sharing
  • Develop collaborative and enduring relationships with the Asset Risk and wider business stakeholders and colleagues

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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About You

  • Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines
  • Modelling: Ability to understand, operate, and explain complex models
  • Accuracy & attention to detail: Ensuring accuracy in models and forecasts.
  • Problem solving skills: Ability to develop solutions for complex financial problems.
  • Communication skills: Can explain technical concepts to non-technical stakeholders.
  • Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals.

Minimum criteria

You’ll need all of these.

  • A degree in Statistics, Mathematics, Economics, Data Science, or a related field
  • Experience in forecasting, data analysis, or a related field
  • Experience with statistical software (e.g., R, Python, SAS) and forecasting tools
  • Experience working on projects and modelling BAU

Desirable criteria

  • Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable
  • Experience with advanced analytical techniques, including machine learning and predictive modelling

About The Company

Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

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Our Values Are At The Heart Of Everything We Do. They Represent Ambition, And We Look For Our People To Live And Breathe Them Every Day

  • We find solutions
  • We drive change
  • We care

We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available.

As a Motability Operations team member, the benefits you can expect are:

  • Competitive reward package including an annual discretionary bonus
  • 15% non-contributory pension (9% non-contributory pension during probation period)
  • 28 days annual leave with option to purchase and sell days
  • Free fresh fruit and snacks in the office
  • 1 day for volunteering
  • Funded Private Medical Insurance cover
  • Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme
  • Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help
  • Funded health screening for over 50s
  • Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans
  • Employee Discount Scheme with an app to save on the go
  • Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees
  • Generous family leave policies

At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they’re rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender.

We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility.

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Skills

Risk Modelling
Statistical Modelling
Data Analysis
Forecasting
Model Risk Management
Python
R
SAS
AWS Sagemaker
Snowflake
Machine Learning
Predictive Modelling
Problem Solving
Stakeholder Management
Commercial Awareness
Mathematical Modelling

Location

London, England, United Kingdom

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